This paper describes a method of improving spatial analyses by using a process model to define the sampling window. This method allows the sample to adapt to changing conditions as they occur in the dataset, rather than applying the same geometric shape to all locations. Such a sampling method can be used to reduce the noise in the sample, and thus generate more sensible results. The general approach may be applied to other processes that influence or control the distribution of spatial...[Show more]
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